TrueFoundry is a pioneering AI deployment and expansion platform that has successfully raised $19 million in Series A funds. Led by Intel Capital, this round has been involved in the surge in Eniac Ventures, Peak XV (formerly Sequoia Capital India and Ocean), Jump Capital and Angel Investors, including Gokul Rajaram, Mohit Aron and Fortune 1000 executives. Through this investment, Intel Capital’s investment director Avi Bharadwaj will join TrueFoundry’s board of directors.
The rise of indexes for generating AI has brought new challenges to enterprises that want to deploy machine learning models at scale. Governance, data privacy and infrastructure costs have become key barriers, often delaying AI implementation. TrueFoundry’s platform solves these challenges, enabling companies to deploy, manage and scale AI applications seamlessly, efficiently and securely.
TrueFoundry was founded by Abhishek Choudhary, Anuraag Gupta and Nikunj Bajaj, an industry veteran team from Meta and IIT Kharagpur. Their extensive experience in deep learning models and large-scale infrastructure management has led to the development of state-of-the-art platforms as services (PAAs), which aim to eliminate bottlenecks in AI deployment and streamlined machine learning workflows.
“Businesses using TrueFoundry have built and launched their in-house AI platform in just two months, achieving ROI in four months, in stark contrast to the industry’s average of 14 months.” explain Nikunj Bajaj, CEO and Co-founder of TrueFoundry. “Our platform integrates seamlessly across cloud, models and frameworks, ensuring no vendor lock-in, while future health deployments are used for evolving AI models such as Rags and Agents.”
TrueFoundry provides a unified platform as a service (PAA), allowing enterprise AI/ML teams to build, deploy and manage large language model (LLM) applications across cloud and on-premises infrastructure. Using developer-first interface design, the platform simplifies AI deployment and allows full-stack data scientists to create, test, and scale applications independently. Key features include model cataloging, fine-tuning, API deployment, and advanced governance tools to bridge the gap between DevOps and MLOPS.
One year of growth and industry adoption
TrueFoundry’s funding announcement is an extraordinary milestone:
- 4 times year-on-year Among the customer base
- Deploy more than 1,000 AI/mL clusters Cross-enterprise customers
- Partnerships with Siemens Hygienists, Resmed, Automation Anywhere, Games24x7 and Nvidia
The company provides customers with 10 times the business value while significantly reducing infrastructure costs. For example, NVIDIA utilizes TrueFoundry to optimize GPU usage of LLM workloads, reduce costs, and improve efficiency through automatic resource allocation and work planning.
“True Foundry is unique in addressing the growing complexity of AI deployment. Their platform simplifies the process for AI teams, allowing them to build, deploy and scale applications at speed and efficiency,” he said. explain Avi Bharadwaj, Investment Director, Intel Capital. “Focusing on cost efficiency, governance and security, TrueFoundry is addressing key challenges for enterprises and we believe they are expected to lead the rapidly expanding AI infrastructure market.”
AI Management AI – The Future of Scalable AI Infrastructure
TrueFoundry, with a total of $21 million in funding, is accelerating its mission to eliminate infrastructure bottlenecks in enterprises deploying AI based on massive deployments. The investment will be used to expand its team and strengthen its listing strategy to drive wider adoption.
“At True Foundry, we are building a future of AI to manage AI – avoiding bottlenecks of human intervention and unlocking unparalleled speed and scale,” explain Abhishek Choudhary, CEO and Co-founder of TrueFoundry. “Our platform simplifies infrastructure with automatic scaling, intelligent maintenance and proactive problem detection, ensuring smooth AI operations while maintaining top-notch security and compliance.”
Provides speed, cost efficiency and safety
TrueFoundry’s platform has redefined AI deployments, with capabilities prioritizing speed, performance, and cost-effectiveness:
- 5-15 times faster iteration cycle – Optimized Docker build, seamless VSCODE integration, and fast resource switching.
- Enterprise-level performance – Dynamic batch processing of ML models, 3-5 times faster cold start, and automatically use image streaming and model cache.
- Save 30-80% of the cost – Intelligent resource orchestration between point and on-demand instances, inference optimization and granular cost tracking.
- Safety and compliance – SOC 2, HIPAA and GDPR certified platform with role-based access control, audit trail and SSO integration.
Going forward, TrueFoundry will introduce its AI Agent, a self-sustaining system that predicts and adapts to AI workflows. Through automated resource management, workflow optimization and active problem solving, enterprises will be able to scale AI faster and more efficiently than ever before.
